Altilia
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About
Altilia is an enterprise-grade AI platform designed to bridge the gap between raw business data and intelligent automation. At its core, the platform enables organizations to create, customize, and deploy specialized AI agents—referred to as AI Assistants and AI Robots—that can understand and interact with specific business processes. By utilizing a no-code and low-code environment, it allows non-technical users to build sophisticated solutions that would otherwise require deep data science expertise. The system is model-agnostic, meaning it can leverage various Large Language Models (LLMs) and Small Language Models (SLMs) to optimize for both performance and cost-effectiveness. The platform's technical strength lies in its ability to process virtually any form of unstructured or semi-structured data, including PDFs, emails, handwritten notes, and technical drawings. Using proprietary pre-processing techniques like Optical Character Recognition (OCR), Handwritten Text Recognition (HTR), and advanced layout analysis, Altilia transforms these documents into a Document Object Model (DOM). This structured knowledge base serves as the foundation for Agentic AI workflows, where agents can autonomously perform multi-step tasks such as data extraction, document classification, and complex decision-making. Altilia is particularly well-suited for heavily regulated industries such as financial services, healthcare, legal, and public administration. For example, in the financial sector, it can automate KYC processes or analyze ESG metrics from corporate reports. What differentiates Altilia from standard API-based tools or general-purpose copilots is its Agentic RAG approach and its emphasis on human-in-the-loop automation. While many tools focus on simple text generation, Altilia focuses on operationalizing AI within existing tech stacks through pre-built connectors and robust APIs, ensuring high security with multiple ISO certifications. By providing a unified environment for data preparation, agent development, and monitoring, Altilia helps businesses scale their AI operations without significantly increasing headcount. The platform emphasizes transparency and ethics, ensuring that AI decisions are explainable and that human experts can intervene to validate or correct outputs. This blend of autonomous Robots for scale and interactive Assistants for collaboration creates a comprehensive digital workforce tailored to the unique terminology and processes of a specific enterprise.
Pros & Cons
Supports diverse data formats including handwritten notes and complex technical drawings.
Complies with multiple ISO standards (27001, 27017, 27018) for high-level security.
Allows for flexible deployment on-premises, in private clouds, or as SaaS.
Combines LLMs and SLMs to optimize performance and reduce operational costs.
Enables rapid implementation with most setups completed in weeks instead of months.
Public pricing is not transparent and requires booking a demo for details.
Platform features are designed for enterprise scale and may be overpowered for simple tasks.
Success relies on the availability of high-quality business data to train custom agents.
Use Cases
Loan officers can use the Lending AI assistant to automatically extract metrics from borrower documents and generate data-driven credit reports.
Compliance teams can automate KYC processes by processing identity documents and cross-referencing information with internal databases.
Sustainability managers can analyze ESG reports to extract specific metrics and generate comprehensive compliance documentation.
Legal professionals can streamline document reviews by deploying agents that classify and extract data from complex handwritten contracts.
Customer service departments can manage high volumes of inquiries by using AI agents to automate responses and route complex issues.
Platform
Task
Features
• model-agnostic architecture
• human-in-the-loop automation
• enterprise-grade security (iso certified)
• pre-built enterprise connectors
• document object model (dom) parsing
• agentic rag (retrieval-augmented generation)
• proprietary ocr and htr
• no-code agent development
FAQs
What is the difference between AI Assistants and AI Robots?
AI Assistants are digital collaborators that work alongside humans in real-time for daily tasks, whereas AI Robots operate autonomously to manage large-scale processes. Both use human-in-the-loop interactions to allow experts to review outputs and continuously improve system accuracy.
How does Altilia handle handwritten documents or complex layouts?
The platform utilizes proprietary pre-processing technology including Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR). It performs detailed layout analysis to identify tables, images, and paragraphs, converting them into a structured Document Object Model (DOM).
Can I use my own AI models within the Altilia platform?
Yes, Altilia is model-agnostic and supports both proprietary and open-source models, including LLMs and SLMs. It can also integrate and optimize pre-existing models developed by your organization to ensure they function seamlessly within the platform's Agentic AI workflows.
What security certifications does Altilia hold?
Altilia is certified under ISO/IEC 27001, 27017, and 27018 for information security and cloud-based data protection. It also complies with ISO 9001 for quality management and adheres to GDPR and European Data Protection Board (EDPB) privacy guidelines.
How long does it typically take to implement the platform?
Most implementations are completed within a few weeks due to the platform's no-code interface and pre-built components for common use cases. This allows business users to customize and manage agents with minimal technical expertise, significantly accelerating the setup process.
What is Agentic RAG and how does it benefit enterprise users?
Agentic RAG combines Retrieval-Augmented Generation with multi-step workflows to handle complex reasoning tasks. It dynamically retrieves smaller chunks of relevant data step-by-step, providing the reasoning depth of long-context models at a much lower computational cost.
What types of data sources and formats can the platform process?
The platform can process virtually any unstructured data, including financial statements, handwritten legal contracts, project files, and technical surveys with drawings. It indexes these contents using proprietary parsing to make them actionable for AI agents.
Pricing Plans
Enterprise
Unknown Price• No-code agent development
• Proprietary OCR and HTR
• Agentic RAG workflows
• Model-agnostic integration
• Pre-built CRM/ERP connectors
• Human-in-the-loop validation
• ISO security certifications
• Private cloud/On-premise deployment
Job Opportunities
Backend Developer
Automate complex enterprise workflows and transform unstructured data into actionable knowledge with no-code AI agents designed for seamless business integration.
Benefits:
Flexible, hybrid workplace
Health and well-being benefits package
Diversity & inclusion support
Continuous learning programs
Professional development
Education Requirements:
Master’s degree in Computer Engineering or Computer Science
Experience Requirements:
3 to 7 years
Other Requirements:
Java
Maven
MySQL
Rest API
Knowledge of Spring Framework and Spring Boot
Responsibilities:
Modeling, developing, and maintaining applications and services
Work with developers to design algorithms and flowcharts
Produce clean, efficient code based on specifications
Troubleshoot, debug and upgrade existing software
Gather and evaluate user feedback
Show more details
Ratings & Reviews
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